Name
Title | ||
|---|---|---|
Optimization of a hydrogen supply chain network design under demand uncertainty by multi-objective genetic algorithms. |
Abstract | ||
|---|---|---|
•This paper addresses the multi-objective design of a hydrogen supply chais under demand uncertainty.•The potential of genetic algorithms is explored to cope with the multi-objective formulation.•Better compromise solutions are produced than those obtained with ε-constraint MILP approach.•Demand uncertainty has also been modelled using fuzzy concepts.•The robustness of the configuration solutions has been assessed. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compchemeng.2020.106853 | Computers & Chemical Engineering |
Keywords | DocType | Volume |
Hydrogen supply chain,Multiobjective optimization,Genetic algorithm,Fuzzy techniques,TOPSIS | Journal | 140 |
ISSN | Citations | PageRank |
0098-1354 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jesus Ochoa Robles | 1 | 0 | 0.34 |
| Catherine Azzaro-Pantel | 2 | 24 | 5.67 |
| Alberto Aguilar-Lasserre | 3 | 23 | 3.90 |